BUSF-SHU - 210 Business Analytics | Sping 2020 | Final Project
- Built, compared, and optimized various Machine Learning models such as logistic regression and XGBoost to pinpoint relevant factors conducive to predicting couriers’ decisions and behavior. Narrowed down the error of delivery time prediction to around 1.5 minutes.
#1 on Kaggle Competition: https://www.kaggle.com/c/elemecovid19/leaderboard
(Unfortunately, due to data confidentiality problems, this Kaggle competition seems to be have been deprecated after the deadline.)
Please see Final Report BA Eleme (May 22nd Due).pdf.